Senior Data Scientist - Financial Crime

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Join Mastercard as a Senior Data Scientist - Financial Crime

At Mastercard, a global pioneer in the payments industry, our mission is rooted in the belief that an inclusive digital economy is one that empowers everyone, everywhere. We ensure transactional security and simplicity while fostering innovation through smart solutions, robust data, and extensive partnerships. Currently, we are looking for a seasoned Senior Data Scientist to enhance our capabilities in combating global financial crime.

Enhancing Payment Security & Risk Management

The Payment Security & Risk Data Science team at Mastercard is dedicated to developing sophisticated models to detect and prevent financial crime worldwide. As a Senior Data Scientist, you will be integral in deploying cutting-edge models, conducting Proof-of-Value exercises, and developing new machine learning-powered solutions. This role is a unique opportunity to contribute significantly to our mission of making transactions safer globally.

Key Responsibilities

In this pivotal role, you will:

  • Deploy advanced models globally to safeguard customers and businesses.
  • Engage in groundbreaking research and development activities for new solutions in machine learning.
  • Manage ongoing support for models in production, ensuring they continuously meet user needs.
  • Collaborate across departments to enhance the suite of services and applications of our models.
  • Work closely with Engineering teams to ensure seamless integration of models into production environments.

Who Should Apply?

Essential Qualifications:

  • Proven expertise in developing and scaling machine learning models.
  • Ability to conduct scientific research and produce high-quality results.
  • Strong communication skills capable of explaining complex technical details effectively to diverse audiences.
  • A product-focused approach, prioritizing customer value in all projects and tasks.

Desirable Qualifications:

  • Proficiency in Unix CLI, Python, GoLang, Java, Dagster, MLFlow, Hadoop, Snowflake.
  • Experience in building models specifically for fraud detection, scams, or anti-money laundering.
  • Familiarity with the payments, blockchain, or cryptocurrency ecosystems.

Commitment to Corporate Security

At Mastercard, ensuring the integrity of our data and systems is paramount. Candidates must adhere to our stringent security protocols, protect data confidentiality, ensure information security, report security breaches, and participate in mandatory security training as per company guidelines.

If you are driven to fight financial crime and want to be at the forefront of technological innovation in the payments industry, apply today to become part of our team at Mastercard and help us build a secure, inclusive digital economy for all.